Technology, science and the universe
E-Research
E-Research refers to research conducted using electronic tools and methodologies, often involving data analysis. This approach has become fundamental in the era of Industry 4.0, where digitalization…
Data and analyticsE-Strategy
E-Strategy refers to the formulation of strategies using electronic tools and data, aimed at improving business efficiency and effectiveness. In the context of digital transformation, this strategy…
Data and analyticsEarnings Report
An earnings report is a financial report that provides a detailed analysis of the financial performance of companies and projects within various sectors, including technology and blockchain. This…
Data and analyticsECL
ECL (Enterprise Control Language) is a data-centric programming language used for data processing and analysis. Designed to facilitate the manipulation of large volumes of information, ECL allows…
Data and analyticsEclipse BIRT
Eclipse BIRT (Business Intelligence and Reporting Tools) is an open-source development framework designed to create reports and business intelligence tools. Its main goal is to facilitate the…
Data and analyticsEcosystem Map
An Ecosystem Map is a visual representation that illustrates the relationships and interactions within a specific ecosystem or environment. This type of visualization allows observers to intuitively…
Data and analyticsEDB
EDB, or Embedded Database, is a type of database management system designed to be integrated within applications, especially in environments where resources are limited. Unlike traditional databases…
Data and analyticsEdge-Connected Graph
A connected graph by edges is a fundamental structure in graph theory, defined as a set of vertices (or nodes) connected by edges (or links) in such a way that there is a path between every pair of…
Data and analyticsEdge-Disjoint Paths
Edge-disjoint paths in a graph are sequences of vertices connected by edges that do not share any edge between them. In more formal terms, two paths are said to be edge-disjoint if there is no edge…
Data and analyticsEdge-Independent Set
An independent edge set in a graph is a group of edges where none of them share a common vertex. This means that when selecting a set of edges, it is ensured that there are no intersections among…
Data and analyticsEdge-Labelled Graph
An edge-labeled graph is a mathematical structure consisting of a set of nodes (or vertices) connected by edges, where each edge has an associated label or identifier. This label can be a number, a…
Data and analyticsEdge-Set
The edge set in a graph is the collection of all connections that exist between the nodes or vertices of that graph. In more technical terms, if a graph G is defined as G = (V, E), where V represents…
Data and analyticsEdge-Weighted Graph
An edge-weighted graph is a mathematical structure consisting of a set of nodes (or vertices) connected by edges, where each edge has an associated numerical value, known as weight. This weight can…
Data and analyticsEdge-Weighted Network
An edge-weighted network is a type of graph in which each edge (or connection) between nodes (or vertices) has an associated weight. This weight can represent different concepts, such as costs…
Data and analyticsEdge-Weighted Shortest Path
The edge-weighted shortest path is a fundamental concept in graph theory that refers to the search for the shortest route between two nodes in a graph, where the edges (or connections between nodes)…
Data and analyticsEdge-Weighted Tree
A weighted edge tree is a data structure in graph theory characterized by being a tree where each edge has an associated weight. This weight can represent various metrics, such as distance, cost, or…
Data and analyticsEdge Bundling
Edge bundling is a data visualization technique used to represent complex networks in a clearer and more understandable way. This methodology involves grouping edges or connections between nodes…
Data and analyticsEdge Connectivity (graph theory)
Edge connectivity in graph theory refers to the minimum number of edges that must be removed to disconnect a graph. This concept is fundamental for understanding the robustness and structure of…
Data and analyticsEdge Data Lake
The Edge Data Lake is a centralized repository designed to store large volumes of data generated at the edge of the network, that is, on devices and sensors located close to the data source. This…
Data and analyticsEdgeDB
EdgeDB is a database designed for the modern web, utilizing in-memory capabilities to enhance performance. It is based on a relational and object-oriented data model, allowing developers to work with…
Data and analyticsEdge List
The edge list is a graph representation consisting of a collection of edges, where each edge is defined as a pair of vertices. This structure is particularly useful for compactly representing graphs…
Data and analyticsEdge Subgraph
An edge subgraph is a fundamental concept in graph theory that refers to a subgraph formed by a subset of edges from the original graph. In more technical terms, an edge subgraph includes a set of…
Data and analyticsEdgeThickness
The border thickness in a chart refers to the width measurement of the lines that outline the shapes and visual elements within a graphical representation. This parameter is crucial in data…
Data and analyticsEdge Traversal
The edge traversal in graph theory refers to the process of visiting all edges of a graph at least once. This concept is fundamental in the study of graphs as it allows for the analysis of…